task_111Manufacturing

Arguments

strategic_intent

Activating specialized skills to process Excel, PDF, and Word documents for the material sourcing analysis.

title

Activating Skills

Output

Current topic: "Activating Skills"
Topic summary: ...

Strategic Intent: Activating specialized skills to process Excel, PDF, and Word documents for the material sourcing analysis.

Arguments

strategic_intent

Activating document processing skills and beginning material sourcing review.

summary

I am activating the necessary skills for processing XLSX, DOCX, and PDF files. Once activated, I will begin reading the material sourcing packet to evaluate inventory, supplier quotes, demand forecast, and policies to formulate a sourcing plan.

title

Material Sourcing Review Setup

Output

Current topic: "Material Sourcing Review Setup"
Topic summary: I am activating the necessary skills for processing XLSX, DOCX, and PDF files. Once activated, I will begin reading the material sourcing packet to evaluate inventory, supplier quotes, demand forecast, and policies to formulate a sourcing plan.

Strategic Intent: Activating document processing skills and beginning material sourcing review.

Arguments

xlsx

Output

<activated_skill name="xlsx">
  <instructions>
    # Requirements for Outputs

## All Excel files

### Professional Font
- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user

### Zero Formula Errors
- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)

### Preserve Existing Templates (when updating templates)
- Study and EXACTLY match existing format, style, and conventions when modifying files
- Never impose standardized formatting on files with established patterns
- Existing template conventions ALWAYS override these guidelines

## Financial models

### Color Coding Standards
Unless otherwise stated by the user or existing template

#### Industry-Standard Color Conventions
- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios
- **Black text (RGB: 0,0,0)**: ALL formulas and calculations
- **Green text (RGB: 0,128,0)**: 

… 11,871 more characters of output in the raw trajectory.

Arguments

xlsx

Output

<activated_skill name="xlsx">
  <instructions>
    # Requirements for Outputs

## All Excel files

### Professional Font
- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user

### Zero Formula Errors
- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)

### Preserve Existing Templates (when updating templates)
- Study and EXACTLY match existing format, style, and conventions when modifying files
- Never impose standardized formatting on files with established patterns
- Existing template conventions ALWAYS override these guidelines

## Financial models

### Color Coding Standards
Unless otherwise stated by the user or existing template

#### Industry-Standard Color Conventions
- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios
- **Black text (RGB: 0,0,0)**: ALL formulas and calculations
- **Green text (RGB: 0,128,0)**: 

… 11,871 more characters of output in the raw trajectory.

Arguments

pdf

Output

<activated_skill name="pdf">
  <instructions>
    # PDF Processing Guide

## Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

## Quick Start

```python
from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()
```

## Python Libraries

### pypdf - Basic Operations

#### Merge PDFs
```python
from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)
```

#### Split PDF
```python
reader = PdfReader("inpu

… 7,070 more characters of output in the raw trajectory.

Arguments

docx

Output

<activated_skill name="docx">
  <instructions>
    # DOCX creation, editing, and analysis

## Overview

A .docx file is a ZIP archive containing XML files.

## Quick Reference

| Task | Approach |
|------|----------|
| Read/analyze content | `pandoc` or unpack for raw XML |
| Create new document | Use `docx-js` - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |

### Converting .doc to .docx

Legacy `.doc` files must be converted before editing:

```bash
python scripts/office/soffice.py --headless --convert-to docx document.doc
```

### Reading Content

```bash
# Text extraction with tracked changes
pandoc --track-changes=all document.docx -o output.md

# Raw XML access
python scripts/office/unpack.py document.docx unpacked/
```

### Converting to Images

```bash
python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page
```

### Accepting Tracked Chan

… 20,839 more characters of output in the raw trajectory.

Arguments

Read PDF and DOCX files

pdftotext -layout /workspace/data/engineering_material_substitution_policy.pdf /workspace/data/policy.txt && pandoc --track-changes=all /workspace/data/program_priority_build_schedule.docx -o /workspace/data/program_priority.md && cat /workspace/data/policy.txt && echo "---" && cat /workspace/data/program_priority.md

Output

<untrusted_context>
Output: /usr/bin/bash: line 4: pandoc: command not found
Exit Code: 127
Process Group PGID: 1505
</untrusted_context>

Arguments

cat << 'EOF' > /workspace/read_all.py
import pandas as pd
from docx import Document
import os

print("=== DOCX ===")
try:
    doc = Document("/workspace/data/program_priority_build_schedule.docx")
    for para in doc.paragraphs:
        print(para.text)
except Exception as e:
    print("Error reading docx:", e)

for file in os.listdir("/workspace/data"):
    if file.endswith(".xlsx"):
        print(f"\n=== {file} ===")
        try:
            xls = pd.ExcelFile(f"/workspace/data/{file}")
            for sheet in xls.sheet_names:
                pr

… 271 more characters of arguments in the raw trajectory.

Output

<untrusted_context>
Output: (empty)
Process Group PGID: 1509
</untrusted_context>

Arguments

/workspace/data_dump.txt

Output

=== DOCX ===
Program Priority & Build Schedule
2026 Q3 Door/Hinge Mechanism Build Wave — Production Control Release PC-2026-0618
Issued by: Production Control & Program Management Office (PMO).  Distribution: Sourcing, Materials Planning, Quality, MRB.  Status as of 2026-06-19.
1. Purpose
This release fixes program priority ranking and committed build dates for the current review cycle. Where multiple programs compete for the same eligible material, allocation shall favor the higher-priority program (lower priority rank number). Contractual country-of-origin and specialty-metals restrictions stated in Section 3 are flowed from the customer contracts and are binding on sourcing decisions; they are not discretionary and may not be relaxed for cost or schedule convenience.
2. Program Priority Ranking and Build Commitments
Note: build start is the first date material must be available on the floor; raw-material need-by dates in the demand forecast are set earlier to allow incoming inspecti

… 50,522 more characters of output in the raw trajectory.

Arguments

/workspace/data/engineering_material_substitution_policy.pdf

Output

Binary content provided (1 item(s)).

Arguments

Extract tables from DOCX

cat << 'EOF' > /workspace/read_docx_tables.py
from docx import Document

doc = Document("/workspace/data/program_priority_build_schedule.docx")
for table in doc.tables:
    for row in table.rows:
        print([cell.text.replace('\n', ' ') for cell in row.cells])
EOF
python /workspace/read_docx_tables.py

Output

<untrusted_context>
Output: ['Program ID', 'Program / Assembly', 'Customer', 'Priority Rank', 'Build Start', 'Restriction']
['PRG-RAVEN', 'Raven Cargo Door Actuation Hinge', 'Lockmar Defense Systems', '1 (highest)', '2026-08-17', 'DFARS']
['PRG-SABLE', 'Sable Emergency Egress Hinge Arm', 'Lockmar Defense Systems', '2', '2026-08-31', 'DFARS']
['PRG-MERIDIAN', 'Meridian Cabin Door Latch Hinge', 'Aerolux Commercial', '3', '2026-09-28', 'CUST-EU']
['PRG-TUNDRA', 'Tundra Cargo Door Stop Fitting', 'Northwind Regional', '4', '2026-10-19', 'CUST-EU']
['PRG-HALCYON', 'Halcyon Service Door Hinge Bracket', 'Aerolux Commercial', '5', '2026-11-09', 'None']
['PRG-CALDER', 'Calder Overwing Hatch Hinge Set', 'Northwind Regional', '6 (lowest)', '2026-11-23', 'None']
['Code', 'Applies To', 'Restriction Detail']
['DFARS', 'PRG-RAVEN, PRG-SABLE (Lockmar Defense)', "Specialty-metals clause DFARS 252.225-7008/7009 flows to these contracts. Steel and specialty alloys must be melted and manufactured in the Un

… 849 more characters of output in the raw trajectory.

Arguments

strategic_intent

Developing a python script to analyze material sourcing data and perform requirement allocations.

title

Material Sourcing Analysis Script

Output

Current topic: "Material Sourcing Analysis Script"
Topic summary: ...

Strategic Intent: Developing a python script to analyze material sourcing data and perform requirement allocations.

Arguments

import pandas as pd
import json
import math
from datetime import datetime

# Load data
df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx')
df_src = pd.read_excel('/workspace/data/approved_material_source_list.xlsx')

# Priorities and Restrictions
priorities = {
    'PRG-RAVEN': {'rank': 1, 'rest': 'DFARS'},
    'PRG-SABLE': {'rank': 2, 'rest': 'DFARS'},
    'PRG-MERIDIAN': {'rank': 3, 'rest': 'CUS

… 7,064 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/read_all_logic.py. Here is the updated code:
import pandas as pd
import json
import math
from datetime import datetime

# Load data
df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx')
df_src = pd.read_excel('/workspace/data/approved_material_source_list.xlsx')

# Priorities and Restrictions
priorities = {
    'PRG-RAVEN': {'rank': 1, 'rest': 'DFARS'},
    'PRG-SABLE': {'rank': 2, 'rest': 'DFARS'},
    'PRG-MERIDIAN': {'rank': 3, 'rest': 'CUST-EU'},
    'PRG-TUNDRA': {'rank': 4, 'rest': 'CUST-EU'},
    'PRG-HALCYON': {'rank': 5, 'rest': 'None'},
    'PRG-CALDER': {'rank': 6, 'rest': 'None'}
}

# Add rank and rest to reqs
df_req['Rank'] = df_req['Program ID'].map(lambda x: priorities[x]['rank'])
df_req['Restriction'] = df_req['Program ID'].map(lambda x: priorities

… 6,504 more characters of output in the raw trajectory.

Arguments

Run material sourcing allocation script

python /workspace/read_all_logic.py

Output

<untrusted_context>
Output: === ALLOCATION LOG ===

Processing REQ-C9T1 (Prog: PRG-RAVEN, Need: 176 lb, Callout: 300M AMS 6419 Annealed Bar)
Traceback (most recent call last):
  File "/workspace/read_all_logic.py", line 101, in <module>
    if not check_origin(lot['Source ID'], req['Restriction']): continue
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/read_all_logic.py", line 53, in check_origin
    origin_status = src['Qualifying Status']
                    ~~~^^^^^^^^^^^^^^^^^^^^^
KeyError: 'Qualifying Status'
Exit Code: 1
Process Group PGID: 1526
</untrusted_context>

Arguments

file_path

/workspace/read_all_logic.py

old_string

origin_status = src['Qualifying Status']

instruction

Fix column name error for Origin Qualifying Status

new_string

origin_status = src['Origin Qualifying Status']

allow_multiple

false

Output

Successfully modified file: /workspace/read_all_logic.py (1 replacements). Here is the updated code:
...

def check_origin(source_id, restriction):
    src = src_dict.get(source_id)
    if not src: return False
    melt_country = src['Melt Country']
    origin_status = src['Origin Qualifying Status']
    
    if restriction == 'DFARS':
        return origin_status in ['Qualifying (USA)', 'Qualifying (non-US)']
    elif restriction == 'CUST-EU':
        return melt_country not in ['China', 'Russia']
...

Arguments

Run corrected material sourcing allocation script

python /workspace/read_all_logic.py

Output

<untrusted_context>
Output: === ALLOCATION LOG ===

Processing REQ-C9T1 (Prog: PRG-RAVEN, Need: 176 lb, Callout: 300M AMS 6419 Annealed Bar)
  [!] Inventory shortfall: 176 lb. Checking quotes...
  [OK] Selected Quote: QTE-8B3F19 at $14.2/lb

Processing REQ-K9P1 (Prog: PRG-RAVEN, Need: 615 lb, Callout: 4340 AMS 6415 Annealed Bar)
  [OK] Fully covered by inventory: [{'Lot ID': 'LOT-3E8C71', 'Qty': 416.0}, {'Lot ID': 'LOT-9A4F37', 'Qty': 199.0}]

Processing REQ-H4A2 (Prog: PRG-RAVEN, Need: 842 lb, Callout: 7075 AMS-QQ-A-250/12 T7351 Plate)
  [!] Inventory shortfall: 842 lb. Checking quotes...
  [FAIL] No valid quotes. Escalating.

Processing REQ-X5M3 (Prog: PRG-RAVEN, Need: 394 lb, Callout: 15-5PH AMS 5862 Cond A Plate)
  [OK] Fully covered by inventory: [{'Lot ID': 'LOT-4D1A95', 'Qty': 394}]

Processing REQ-B6N3 (Prog: PRG-SABLE, Need: 268 lb, Callout: 7075 AMS-QQ-A-250/12 T7351 Plate)
  [!] Inventory shortfall: 268 lb. Checking quotes...
  [FAIL] No valid quotes. Escalating.

Processing

… 4,182 more characters of output in the raw trajectory.

Arguments

Remove EOF from Python script

sed -i '/EOF/d' /workspace/read_all_logic.py

Output

<untrusted_context>
Output: (empty)
Process Group PGID: 1548
</untrusted_context>

Arguments

title

Building Sourcing Analysis Workbook

strategic_intent

Creating a script to build the final Excel workbook with dynamic formulas and requirement allocations.

Output

Current topic: "Building Sourcing Analysis Workbook"
Topic summary: ...

Strategic Intent: Creating a script to build the final Excel workbook with dynamic formulas and requirement allocations.

Arguments

file_path

/workspace/build_excel.py

content

import pandas as pd
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment
from openpyxl.utils.dataframe import dataframe_to_rows
import sys

# We'll use the logic we just ran to determine the plan, but output it nicely into an Excel file.
# First, let's execute the allocation logic.

df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.x

… 7,973 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/build_excel.py. Here is the updated code:
import pandas as pd
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment
from openpyxl.utils.dataframe import dataframe_to_rows
import sys

# We'll use the logic we just ran to determine the plan, but output it nicely into an Excel file.
# First, let's execute the allocation logic.

df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx')
df_src = pd.read_excel('/workspace/data/approved_material_source_list.xlsx')

priorities = {
    'PRG-RAVEN': {'rank': 1, 'rest': 'DFARS'},
    'PRG-SABLE': {'rank': 2, 'rest': 'DFARS'},
    'PRG-MERIDIAN': {'rank': 3, 'rest': 'CUST-EU'},
    'PRG-TUNDRA': {'rank': 4, 'rest': 'CUST-EU'},
    'PRG-HALCYON': {'rank': 5, 'rest': 'None'},
    'PRG-CALDER': {'ran

… 7,376 more characters of output in the raw trajectory.

Arguments

import pandas as pd
import json
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill

# Load data
df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx')
df_src = pd.read_excel('/workspace/data/approved_material_source_list.xlsx')

priorities = {
    'PRG-RAVEN': {'rank': 1, 'rest': 'DFARS'},
    'PRG-SABLE': {'rank': 2, 'rest': 'DFARS'},
    'PRG-MERIDIAN': {'rank': 3, 'rest': '

… 8,845 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/generate_excel.py. Here is the updated code:
import pandas as pd
import json
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill

# Load data
df_req = pd.read_excel('/workspace/data/material_demand_forecast.xlsx')
df_lot = pd.read_excel('/workspace/data/inventory_lot_cert_snapshot.xlsx')
df_qte = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx')
df_src = pd.read_excel('/workspace/data/approved_material_source_list.xlsx')

priorities = {
    'PRG-RAVEN': {'rank': 1, 'rest': 'DFARS'},
    'PRG-SABLE': {'rank': 2, 'rest': 'DFARS'},
    'PRG-MERIDIAN': {'rank': 3, 'rest': 'CUST-EU'},
    'PRG-TUNDRA': {'rank': 4, 'rest': 'CUST-EU'},
    'PRG-HALCYON': {'rank': 5, 'rest': 'None'},
    'PRG-CALDER': {'rank': 6, 'rest': 'None'}
}

df_req['Rank'] = df_req['Program ID'].map(lambda x: priorities[x]['rank'])
df_req['Restriction'] = df_req['Program ID'].map(lambda x: priorities[x]['rest'])
df_req = df

… 8,172 more characters of output in the raw trajectory.

Arguments

Generate Excel workbook and JSON data

python /workspace/generate_excel.py

Output

<untrusted_context>
Output: Traceback (most recent call last):
  File "/workspace/generate_excel.py", line 176, in <module>
    qte['Quoted Receipt Date'].strftime('%Y-%m-%d') if pd.notna(qte['Quoted Receipt Date']) else '',
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'strftime'
Exit Code: 1
Process Group PGID: 1551
</untrusted_context>

Arguments

Run excel building script and recalculate formulas

python /workspace/build_excel.py && python /root/.gemini/skills/xlsx/scripts/recalc.py /workspace/output/material_sourcing_analysis_workbook.xlsx

Output

<untrusted_context>
Output: File "/workspace/build_excel.py", line 117
    (', '.join([f'{u['Lot ID']} ({u['Qty']:.1f} lb)' for u in used_lots]))
                      ^^^
SyntaxError: f-string: f-string: unmatched '['
Exit Code: 1
Process Group PGID: 1563
</untrusted_context>

Arguments

file_path

/workspace/build_excel.py

instruction

Fix quote escaping in f-string

old_string

    if fulfilled_from_inv > 0:
        allocations.append({'Req ID': req_id, 'Action': 'Mixed (Inv + Purchase)', 'Coverage': 'Full', 'Details': f"Inv: {', '.join([f'{u['Lot ID']} ({u['Qty']:.1f} lb)' for u in used_lots])}; Buy: {best_quote['Quote ID']}", 'Shortfall': 0})

allow_multiple

false

new_string

    if fulfilled_from_inv > 0:
        inv_str = ', '.join([f"{u['Lot ID']} ({u['Qty']:.1f} lb)" for u in used_lots])
        allocations.append({'Req ID': req_id, 'Action': 'Mixed

… 120 more characters of arguments in the raw trajectory.

Output

Successfully modified file: /workspace/build_excel.py (1 replacements). Here is the updated code:
...
        
    valid_quotes = sorted(valid_quotes, key=lambda x: x['Unit Price ($/lb)'])
    best_quote = valid_quotes[0]
    
    if fulfilled_from_inv > 0:
        inv_str = ', '.join([f"{u['Lot ID']} ({u['Qty']:.1f} lb)" for u in used_lots])
        allocations.append({'Req ID': req_id, 'Action': 'Mixed (Inv + Purchase)', 'Coverage': 'Full', 'Details': f"Inv: {inv_str}; Buy: {best_quote['Quote ID']}", 'Shortfall': 0})
    else:
        allocations.append({'Req ID': req_id, 'Action': 'Purchase', 'Coverage': 'Full', 'Details': f"Buy: {best_quote['Quote ID']}", 'Shortfall': 0})

# Create Workbook
wb = Workbook()
...

Arguments

Run excel building script and recalculate formulas

python /workspace/build_excel.py && python /root/.gemini/skills/xlsx/scripts/recalc.py /workspace/output/material_sourcing_analysis_workbook.xlsx

Output

<untrusted_context>
Output: Traceback (most recent call last):
  File "/workspace/build_excel.py", line 138, in <module>
    ws_req.append([req_id, prog_id, req_qty, need_by.strftime('%Y-%m-%d') if pd.notnull(need_by) else '', al['Action'], al['Coverage'], al['Details'], al['Shortfall']])
                                             ^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'strftime'
Exit Code: 1
Process Group PGID: 1566
</untrusted_context>

Arguments

instruction

Fix date formatting error

new_string

        need_by_str = str(need_by)[:10] if pd.notnull(need_by) else ''
        ws_req.append([req_id, prog_id, req_qty, need_by_str, al['Action'], al['Coverage'], al['Details'], al['Shortfall']])

allow_multiple

false

old_string

        ws_req.append([req_id, prog_id, req_qty, need_by.strftime('%Y-%m-%d') if pd.notnull(need_by) else '', al['Action'], al['Coverage'], al['Details'], al['Shortfall']])

file_path

/workspace/build_excel.py

Output

Successfully modified file: /workspace/build_excel.py (1 replacements). Here is the updated code:
...
    prog_id = r[1]
    req_qty = r[7]
    need_by = r[9]
    al = next((a for a in allocations if a['Req ID'] == req_id), None)
    if al:
        need_by_str = str(need_by)[:10] if pd.notnull(need_by) else ''
        ws_req.append([req_id, prog_id, req_qty, need_by_str, al['Action'], al['Coverage'], al['Details'], al['Shortfall']])
        
# 2. Inventory Lots (with formulas)
ws_lot = wb.create_sheet(title="Inventory Usability")
lot_headers = list(df_lot.columns) + ["Calculated Usable Qty"]
ws_lot.append(lot_headers)
...

Arguments

Run excel building script and recalculate formulas

python /workspace/build_excel.py && python /root/.gemini/skills/xlsx/scripts/recalc.py /workspace/output/material_sourcing_analysis_workbook.xlsx

Output

<untrusted_context>
Output: Workbook generated.
{
  "status": "errors_found",
  "total_errors": 32,
  "error_summary": {
    "#VALUE!": {
      "count": 32,
      "locations": [
        "Quote Feasibility!I2",
        "Quote Feasibility!I3",
        "Quote Feasibility!I4",
        "Quote Feasibility!I5",
        "Quote Feasibility!I6",
        "Quote Feasibility!I7",
        "Quote Feasibility!I8",
        "Quote Feasibility!I9",
        "Quote Feasibility!I10",
        "Quote Feasibility!I11",
        "Quote Feasibility!I12",
        "Quote Feasibility!I13",
        "Quote Feasibility!I14",
        "Quote Feasibility!I15",
        "Quote Feasibility!I16",
        "Quote Feasibility!I17",
        "Quote Feasibility!I18",
        "Quote Feasibility!I19",
        "Quote Feasibility!I20",
        "Quote Feasibility!I21"
      ]
    }
  },
  "total_formulas": 56
}
Process Group PGID: 1576
</untrusted_context>

Arguments

Print column indexes of quote dataframe

python -c "import pandas as pd; df = pd.read_excel('/workspace/data/supplier_quote_leadtime_matrix.xlsx'); print(list(enumerate(df.columns)))"

Output

<untrusted_context>
Output: [(0, 'Quote ID'), (1, 'RFQ ID'), (2, 'Source ID'), (3, 'Alloy'), (4, 'Material Spec'), (5, 'Temper / Condition'), (6, 'Product Form'), (7, 'Quoted Qty (lb)'), (8, 'Unit Price ($/lb)'), (9, 'Extended Cost ($)'), (10, 'Lead Time (days)'), (11, 'Quoted Receipt Date'), (12, 'Cert Offered'), (13, 'Melt Country'), (14, 'Min Order (lb)'), (15, 'Quote Expiry'), (16, 'Note')]
Process Group PGID: 1700
</untrusted_context>

Arguments

new_string

    # H = Quoted Qty (idx 7), I = Unit Price (idx 8), J = Extended Cost (idx 9)
    row_data[9] = f"=H{idx}*I{idx}"
    ws_qte.append(row_data)

allow_multiple

false

instruction

Fix quote formulas column indexing

file_path

/workspace/build_excel.py

old_string

    # G = Quoted Qty (idx 6), H = Unit Price (idx 7), I = Extended Cost (idx 8)
    # We replace Extended Cost with a formula
    row_data[8] = f"=G{idx}*H{idx}"
    ws_qte.append(row_data)

Output

Successfully modified file: /workspace/build_excel.py (1 replacements). Here is the updated code:
...
# Extended cost is index 8 (col I)
ws_qte.append(qte_headers)

for idx, r in enumerate(dataframe_to_rows(df_qte, index=False, header=False), start=2):
    row_data = list(r)
    # H = Quoted Qty (idx 7), I = Unit Price (idx 8), J = Extended Cost (idx 9)
    row_data[9] = f"=H{idx}*I{idx}"
    ws_qte.append(row_data)

wb.save("/workspace/output/material_sourcing_analysis_workbook.xlsx")
print("Workbook generated.")

Arguments

Run excel building script and recalculate formulas

python /workspace/build_excel.py && python /root/.gemini/skills/xlsx/scripts/recalc.py /workspace/output/material_sourcing_analysis_workbook.xlsx

Output

<untrusted_context>
Output: Workbook generated.
{
  "status": "success",
  "total_errors": 0,
  "error_summary": {},
  "total_formulas": 56
}
Process Group PGID: 1712
</untrusted_context>

Arguments

Append JSON export to build_excel.py and re-run

cat << 'EOF' >> /workspace/build_excel.py
import json
with open("/workspace/output/allocations.json", "w") as f:
    json.dump(allocations, f)
EOF
python /workspace/build_excel.py

Output

<untrusted_context>
Output: Workbook generated.
Process Group PGID: 1821
</untrusted_context>

Arguments

strategic_intent

Generating the material sourcing recommendation memo as a DOCX file using docx-js.

title

Building DOCX Memo

Output

Current topic: "Building DOCX Memo"
Topic summary: ...

Strategic Intent: Generating the material sourcing recommendation memo as a DOCX file using docx-js.

Arguments

title

Generating Sourcing Recommendation Memo

strategic_intent

Writing a Javascript program using docx-js to generate the final Word document with the sourcing recommendations.

Output

Current topic: "Generating Sourcing Recommendation Memo"
Topic summary: ...

Strategic Intent: Writing a Javascript program using docx-js to generate the final Word document with the sourcing recommendations.

Arguments

file_path

/workspace/generate_docx.js

content

const fs = require('fs');
const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, HeadingLevel, BorderStyle, WidthType, ShadingType } = require('docx');

const allocations = JSON.parse(fs.readFileSync('/workspace/output/allocations.json', 'utf8'));

// Prepare lists
const coveredInv = allocations.filter(a => a.Coverage === 'Full' && a.Action === 'Allocate Inventory');
const coveredBuy = allocations.filter(a => a.Coverage === 'Full' && a.Action === 'Purchase');
const coveredMixed = allocations.filter(a => a.Coverage

… 4,944 more characters of arguments in the raw trajectory.

Output

Successfully created and wrote to new file: /workspace/generate_docx.js. Here is the updated code:
const fs = require('fs');
const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, HeadingLevel, BorderStyle, WidthType, ShadingType } = require('docx');

const allocations = JSON.parse(fs.readFileSync('/workspace/output/allocations.json', 'utf8'));

// Prepare lists
const coveredInv = allocations.filter(a => a.Coverage === 'Full' && a.Action === 'Allocate Inventory');
const coveredBuy = allocations.filter(a => a.Coverage === 'Full' && a.Action === 'Purchase');
const coveredMixed = allocations.filter(a => a.Coverage === 'Full' && a.Action === 'Mixed (Inv + Purchase)');
const escalated = allocations.filter(a => a.Coverage === 'Partial/None' || a.Action.includes('Escalate'));

const doc = new Document({
  styles: {
    default: { document: { run: { font: "Arial", size: 22 } } }, // 11pt default
    paragraphStyles: [
      { id: "Heading1", name: "Heading 1", basedOn: "Norm

… 4,416 more characters of output in the raw trajectory.

Arguments

const fs = require('fs');
const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, HeadingLevel, WidthType, BorderStyle, ShadingType, PageOrientation, LevelFormat, AlignmentType } = require('docx');

const allocations = JSON.parse(fs.readFileSync('/workspace/output/allocations.json', 'utf8'));

let escalations = allocations.filter(a => a.Shortfall > 0 || a.Coverage === 'Partial/None');
let purchases = allocations.filter(a => a.Action.includes('Purchase'));
let inventory = allocations.filter(a => a.Action.includes('Inventory'));

const doc = new Document({

… 5,719 more characters of arguments in the raw trajectory.

Output

Successfully overwrote file: /workspace/generate_docx.js. Here is the updated code:
const fs = require('fs');
const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, HeadingLevel, WidthType, BorderStyle, ShadingType, PageOrientation, LevelFormat, AlignmentType } = require('docx');

const allocations = JSON.parse(fs.readFileSync('/workspace/output/allocations.json', 'utf8'));

let escalations = allocations.filter(a => a.Shortfall > 0 || a.Coverage === 'Partial/None');
let purchases = allocations.filter(a => a.Action.includes('Purchase'));
let inventory = allocations.filter(a => a.Action.includes('Inventory'));

const doc = new Document({
  styles: {
    default: { document: { run: { font: "Arial", size: 24 } } },
    paragraphStyles: [
      { id: "Heading1", name: "Heading 1", basedOn: "Normal", next: "Normal", quickFormat: true,
        run: { size: 32, bold: true, font: "Arial" },
        paragraph: { spacing: { before: 240, after: 240 }, outlineLevel: 0 } },
      

… 5,190 more characters of output in the raw trajectory.

Arguments

Install docx and generate memo

npm install docx && node /workspace/generate_docx.js

Output

<untrusted_context>
Output: added 22 packages in 2s

1 package is looking for funding
  run `npm fund` for details
DOCX generated.
Process Group PGID: 1834
</untrusted_context>

Arguments

Run node script to generate docx

node /workspace/generate_docx.js

Output

<untrusted_context>
Output: DOCX generated.
Process Group PGID: 1855
</untrusted_context>

Arguments

/workspace/output

Output

Directory listing for /workspace/output:
allocations.json (3516 bytes)
material_sourcing_analysis_workbook.xlsx (14477 bytes)
material_sourcing_recommendation_memo.docx (10334 bytes)

Arguments

title

Deliverables Complete

strategic_intent

Finalizing task and completing output deliverables.

Output

Current topic: "Deliverables Complete"
Topic summary: ...

Strategic Intent: Finalizing task and completing output deliverables.